# Deep learning-enabled medical computer vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andre Esteva,Katherine Chou,Serena Yeung,Nikhil Naik,Ali Madani,Ali Mottaghi,Yun Liu,Eric J. Topol,Jeff Dean,Richard Socher |
| Citations | 1,331 |
| DOI | 10.1038/s41746-020-00376-2 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-020-00376-2.pdf |
| OpenAlex ID | https://openalex.org/W3120894151 |
| PMID | 33420381 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Serena Yeung](https://scholariq.org/researchers/serena-yeung/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.